PERSONALIZED FEDERATED LEARNING UNDER A MIXTURE OF JOINT DISTRIBUTIONS

    公开(公告)号:US20240104393A1

    公开(公告)日:2024-03-28

    申请号:US18466333

    申请日:2023-09-13

    CPC classification number: G06N3/098

    Abstract: Systems and methods for personalized federated learning. The method may include receiving at a central server local models from a plurality of clients, and aggregating a heterogeneous data distribution extracted from the local models. The method can further include processing the data distribution as a linear mixture of joint distributions to provide a global learning model, and transmitting the global learning model to the clients. The global learning model is used to update the local model.

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